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Università della Svizzera italiana

Identity reinforcement or risky organizational change? : Category spanning in humanitarian projects

Kooijman, Eva A. P. ; Beck, Nikolaus

In: Administrative sciences, 2021, vol. 11, no. 4, p. 17

In this study, we investigate the consequences of organizational change that consist of adding new categories to the portfolio of humanitarian organizations. Our aim is to discern differences in these consequences between specialist and generalist organizations. Previous research has shown that spanning categories lead to disadvantages in the evaluation of organizations by audience members in...

Università della Svizzera italiana

Artificial intelligence in thyroid field : a comprehensive review

Bini, Fabiano ; Pica, Andrada ; Azzimonti, Laura ; Giusti, Alessandro ; Ruinelli, Lorenzo ; Marinozzi, Franco ; Trimboli, Pierpaolo

In: Cancers, 2021, vol. 13, no. 19, p. 18

Artificial intelligence (AI) uses mathematical algorithms to perform tasks that require human cognitive abilities. AI-based methodologies, e.g., machine learning and deep learning, as well as the recently developed research field of radiomics have noticeable potential to transform medical diagnostics. AI-based techniques applied to medical imaging allow to detect biological abnormalities, to...

Università della Svizzera italiana

Managing the trade-off between groundwater resources and large-scale agriculture : the case of pistachio production in Iran

Akhavan, Ali ; Gonçalves, Paulo

In: System dynamics review, 2021, vol. 37, no. 2-3, p. 155-196

Benefiting from historically favorable conditions (e.g. low costs, fertile land, and abundant water), pistachio producers in Rafsanjan, Iran, have flourished, with pistachio orchards and production growing dramatically since the 1970s. Today, however, the enormous increase in water consumption associated with pistachio production has severely depleted groundwater aquifers, causing widespread...

Università della Svizzera italiana

A new constructive heuristic driven by machine learning for the traveling salesman problem

Mele, Umberto Junior ; Gambardella, Luca Maria ; Montemanni, Roberto

In: Algorithms, 2021, vol. 14, no. 9, p. 25

Recent systems applying Machine Learning (ML) to solve the Traveling Salesman Problem (TSP) exhibit issues when they try to scale up to real case scenarios with several hundred vertices. The use of Candidate Lists (CLs) has been brought up to cope with the issues. A CL is defined as a subset of all the edges linked to a given vertex such that it contains mainly edges that are believed to be...

Università della Svizzera italiana

Network theory and switching behaviors : a user guide for analyzing electronic records databases

Gronchi, Giorgio ; Raglianti, Marco ; Giovannelli, Fabio

In: Future internet, 2021, vol. 13, no. 9, p. 12

As part of studies that employ health electronic records databases, this paper advocates the employment of graph theory for investigating drug-switching behaviors. Unlike the shared approach in this field (comparing groups that have switched with control groups), network theory can provide information about actual switching behavior patterns. After a brief and simple introduction to...

Università della Svizzera italiana

A review of digital fashion research : before and beyond communication and marketing

Nobile, Tekila Harley ; Noris, Alice ; Kalbaska, Nadzeya ; Cantoni, Lorenzo

In: International journal of fashion design, technology and education, 2021, vol. 14, no. 3, p. 293-301

This paper focuses on the field of digital fashion and its development by providing an overview regarding fashion design and culture. It is part of a larger research that involved a literature review of 491 relevant papers. From the analysis of this corpus, three main categories were identified: Communication and Marketing, Design and Production and Culture and Society. This study focuses on...

Università della Svizzera italiana

Le malattie autoimmuni di fegato nell’adulto = Maladies auto-immunes du foie chez l’adulte

Terziroli Beretta-Piccoli, Benedetta ; De Gottardi, Andrea ; Vergani, Diego ; Mieli-Vergani, Giorgina

In: Schweizer gastroenterologie, 2021, vol. 2, no. 2, p. 56-66

L’epatite autoimmune è una infiammazione cronica del fegato che colpisce tutte le età, caratterizzata da transaminasi e immunoglo- buline G elevate, presenza di autoanticorpi, epatite dell’interfaccia alla biopsia epatica, e ottima risposta alla terapia con steroidi. Se non trattata, ha una sopravvivenza a 5 anni del 50 %. La colangite biliare primitiva è una patologia cronica...

Università della Svizzera italiana

Block-enhanced precision matrix estimation for large-scale datasets

Eftekhari, Aryan ; Pasadakis, Dimosthenis ; Bollhöfer, Matthias ; Scheidegger, Simon ; Schenk, Olaf

In: Journal of computational science, 2021, vol. 53, p. 13

The ℓ1-regularized Gaussian maximum likelihood method is a common approach for sparse precision matrix estimation, but one that poses a computational challenge for high-dimensional datasets. We present a novel ℓ1- regularized maximum likelihood method for performant large-scale sparse precision matrix estimation utilizing the block structures in the underlying computations. We identify the...

Università della Svizzera italiana

VerifyThis 2019 : a program verification competition

Dross, Claire ; Furia, Carlo A ; Huisman, Marieke ; Monahan, Rosemary ; Müller, Peter

In: International Journal on Software Tools for Technology Transfer, 2021, vol. 23, p. 883–893

VerifyThis is a series of program verification competitions that emphasize the human aspect: participants tackle the verification of detailed behavioral properties—something that lies beyond the capabilities of fully automatic verification and requires instead human expertise to suitably encode programs, specifications, and invariants. This paper describes the 8th edition of VerifyThis, ...

Università della Svizzera italiana

Dati evidence-based sulla affidabilità dei sistemi ecografici per la stratificazione del rischio di malignità del nodulo tiroideo (TIRADS)

Trimboli, Pierpaolo ; Scappaticcio, Lorenzo ; Castellana, Marco

In: L'endocrinologo, 2021, vol. 22, no. 3, p. 225–230

L’esame strumentale più comunemente utilizzato per valutare il rischio di malignità del nodulo tiroideo è l’ecografia. Con questo esame è possibile individuare posizione, dimensioni e caratteristiche del nodulo. Dal momento che l’uso dei singoli aspetti ecografici di sospetto ha dimostrato una bassa riproducibilità nell’indicazione all’agoaspirato, nel corso degli ultimi anni...